OpenCV入门——直线检测并消除

最新推荐文章于 2025-06-06 17:02:48 发布

原创最新推荐文章于 2025-06-06 17:02:48 发布 · 8.1k 阅读

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#opencv #直线检测

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本文详细介绍了一种使用OpenCV进行图像处理的方法，包括读取图片、灰度转换、自适应阈值设定、腐蚀膨胀操作等步骤，展示了从原始图像到处理结果的全过程。

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很简单，代码如下

#include<iostream>
#include<opencv.hpp>

using namespace cv;
using namespace std;

int main()
{
	Mat img, dst, img_gary, img_bin, temp, r_line, c_line, kernel;
	char INPUT[] = "input";
	char OUTPUT[] = "output";
	char GRAY_IMG[] = "gary image";
	char BIN_IMG[] = "binary image";
	char DST_IMG[] = "final image";

	img = imread("D:\\OpenCV\\images\\demo_test_2.jpg");
	if (img.empty())
	{
		cout << "image loading failed..." << endl;
		return -1;
	}
	namedWindow(INPUT, WINDOW_AUTOSIZE);
	imshow(INPUT, img);

	
	cvtColor(img, img_gary, COLOR_BGR2GRAY);
	imshow(GRAY_IMG, img_gary);

	adaptiveThreshold(~img_gary, img_bin, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, -2);
	imshow(BIN_IMG, img_bin);

	//水平结构元素
	r_line = getStructuringElement(MORPH_RECT, Size(img.cols / 16, 1), Point(-1, -1));
	//垂直结构元素
	c_line = getStructuringElement(MORPH_RECT, Size(1, img.rows / 16), Point(-1, -1));

	kernel = getStructuringElement(MORPH_RECT, Size(4, 4), Point(-1, -1));
	erode(img_bin, temp, kernel);
	dilate(temp, dst, kernel);

	//erode(img_bin, temp, r_line);
	//dilate(temp, dst, r_line);
	//morphologyEx(img_bin, dst, MORPH_OPEN, c_line);
	
	bitwise_not(dst, dst);
	//blur(dst, dst, Size(3, 3), Point(-1, -1));
	imshow(DST_IMG, dst);

	waitKey(0);
	return 0;
}

放几张效果图

晚安~